Trends in Natural Language Generation - An Artificial Intelligence Perspective

Trends in Natural Language Generation - An Artificial Intelligence Perspective
Author: Giovanni Adorni
Publisher: Springer Science & Business Media
Total Pages: 402
Release: 1996-03-13
Genre: Computers
ISBN: 9783540608004

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This proceedings volume gives an up-to-date overview of the most recent results in the field of plant molecular response to environmental constraints, especially heat, cold, water/drought, salt or light. It centers on molecular approaches in understanding the bases of plant tolerance to physical stresses, links among different environmental stresses, and the manipulation of gene expression by recombinant DNA technology to obtain tolerant transgenic plants.

The Development of Natural Language Processing

The Development of Natural Language Processing
Author: China Info & Comm Tech Grp Corp
Publisher: Springer Nature
Total Pages: 83
Release: 2021-06-09
Genre: Computers
ISBN: 9811619867

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This book is a part of the Blue Book series “Research on the Development of Electronic Information Engineering Technology in China”, which explores the cutting edge of natural language processing (NLP) studies. The research objects of natural language processing are evolved from words, phrases, and sentences to text, and research directions are from language analysis, language understanding, language generation, knowledge graphs, machine translation, to deep semantic understanding, and beyond. This is in line with the development trend of applications. And for another typical NLP application machine translation, from text translation, to voice and image translation, now simultaneous interpretation, progress of technology makes the application of machine translation deeper and wider into diverse industries. This book is intended for researchers and industrial staffs who have been following the current situation and future trends of the natural language processing. Meanwhile, it also bears high value of reference for experts, scholars, and technical and engineering managers of different levels and different fields.

Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing
Author: Li Deng
Publisher: Springer
Total Pages: 338
Release: 2018-05-23
Genre: Computers
ISBN: 9811052093

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In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.

Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)

Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)
Author: Florentina Hristea
Publisher:
Total Pages: 0
Release: 2024-03-05
Genre: Computers
ISBN: 9783725800858

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Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced NLP and the availability of big data to create large-scale systems and applications. Researching software and systems that bridge the linguistic gap between people and machines requires knowledge of natural language processing (NLP) and computational linguistics (CL), including their application-oriented aspects. This Reprint contains all accepted articles published in the Special Issue "Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT)". The aim of this Special Issue was to focus on technologies for processing human language in the form of text, using natural language processing (NLP) tools and techniques to address the two main challenges: natural language understanding and natural language generation. This Special Issue presents innovative research in the domain of NLP and HLT. It is our hope that the research results will contribute to fostering future research in NLP and inspiring future studies in related fields.

Natural Language Processing in Artificial Intelligence

Natural Language Processing in Artificial Intelligence
Author: Brojo Kishore Mishra
Publisher: CRC Press
Total Pages: 297
Release: 2020-11-01
Genre: Science
ISBN: 1000711315

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This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition
Author: K. C. Santosh
Publisher: Springer
Total Pages: 717
Release: 2019-07-19
Genre: Computers
ISBN: 9811391815

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This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Intelligent Natural Language Processing

Intelligent Natural Language Processing
Author: Khaled Shaalan
Publisher:
Total Pages: 776
Release: 2018
Genre: Natural language processing (Computer science)
ISBN: 9783319670577

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This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging - and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.

Natural Language Processing and Information Systems

Natural Language Processing and Information Systems
Author: Max Silberztein
Publisher: Springer
Total Pages: 514
Release: 2018-05-24
Genre: Computers
ISBN: 3319919474

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This book constitutes the refereed proceedings of the 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, held in Paris, France, in June 2018. The 18 full papers, 26 short papers, and 9 poster papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: Opinion Mining and Sentiment Analysis in Social Media; Semantics-Based Models and Applications; Neural Networks Based Approaches; Ontology Engineering; NLP; Text Similarities and Plagiarism Detection; Text Classification; Information Mining; Recommendation Systems; Translation and Foreign Language Querying; Software Requirement and Checking.